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PhD Opportunity PhD research on “Progressive Voices/Movements in Islamic Theology in the (Post-)Secular Society of 21st Century” The main purpose of this recommended research project is to promote
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctor Pedro Miguel Ferreira Martins Arezes
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to: meet the entry requirements for a QUT Doctor of Philosophy , including any English language requirements enrol as a full‑time, internal student (unless approval for part-time and/or external study is
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, including industrial applications in geology. Your immediate leader will be the Head of Department. Duties of the position Simulate MRI data and model disturbances arising from various physical sources
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of the position Simulate MRI data and model disturbances arising from various physical sources Develop, implement and train INR models for MRI time-series data Analyze functional MRI data of the spinal cord Present
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and automation of simulation workflows and data post-processing (e.g., Python, MATLAB, or equivalent). The following additional merits may also be considered: knowledge in Paraview, GNU/Linux, and
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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that can be benchmarked through physical experiments or computational simulations. The project is funded by the Research Council of Norway and is a collaboration between NTNU and Norsk Regnesentral
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient